The Vice President, Media Analytics and Insights is responsible for the application of data driven insights into the Publicis Media planning, investment and measurement process, designing and leading the implementation of modern measurement plans and roadmaps for clients.
Deliver best-in-class media attribution roadmaps, including measuring video and digital multi-touch attribution
Manage client data ingestion for advanced attribution and modeling
Build strong relationships with internal stakeholders and groups, facilitating synergy between the Strategy and Investment functions
Build and develop relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction
Drive a culture of ‘always on’ data driven decision making that will institutionalize the use of consumer-driven analytics in media /marketing investment planning
Assist in AI/ML model design, development, training, and testing within a multi‑disciplinary engineering team.
Responsibilities
Gain an understanding of typical AI/ML documentation and assist in preparing them.
Learn commonly used AI and software engineering tools and best practices (e.g., Git, ADO, Python libraries, ML frameworks, VSCode).
Provide basic support for AI and software development across various software environments and target hardware (e.g., Linux, Android, Windows).
Expand your AI/ML knowledge, including model development, data preparation, and evaluation techniques.
Participate as a member of a multi‑disciplinary engineering team.
Requirements
Enrolled in an accredited college or university pursuing a technical degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field
Nice to have: MS Office
Nice to have: Previous engineering or AI/ML project experience or internships
Nice to have: Ability to work effectively in a team environment
Build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.
Locations (3)
Raleigh, North Carolina, United States
Phoenix, Arizona, United States
Dallas, Texas, United States
Compensation
If hired in North Carolina, the base pay for this position is generally between $86,625 and $100,000.
Responsibilities
Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence capabilities.
Implement data quality validations, test cases, and controls to ensure accurate, consistent, and reliable data assets.
Lead technical planning, design, and execution of utility infrastructure projects, mentor junior engineers, and ensure regulatory compliance.
Compensation
Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $112,000.00/Yr. – $154,000.00/Yr.
Annual Bonus for eligible positions: 15%
Responsibilities
Direct engineering studies and performance evaluations
Set priorities for safety, reliability, and regulatory compliance
Approve budgets, work packages, and technical specifications
Lead cross-functional coordination and external partnerships
Supervise field activities and resolve complex issues
Platform Engineer responsible for building and operating the internal developer platform across Kubernetes, observability, AI-enabled workloads, CI/CD, and infrastructure as code.
Responsibilities
Design, build, and operate scalable Kubernetes-based platform capabilities
Create reusable infrastructure-as-code modules and automated workflows
Develop and evolve platform observability
Improve platform reliability, capacity management, security posture, and cost efficiency
Build infrastructure for AI/ML workloads
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field
Join AMD’s dynamic Systems Development team to bring cutting-edge servers and switch solutions to life, focusing on SoC, board, and system-level integration-leading validation and new product introduction (NPI) qualification.
Responsibilities
Lead Switch System bring-up, System Rack Validation, and NPI qualification for server and switch hardware with OEM vendors.
Drive deployment and sustaining efforts for hardware solutions through all compliance stages.
Lead debug and root cause analysis of deployed systems by reviewing board layouts and schematics.
Collaborate cross-functionally with internal engineering teams and external partners to ensure timely delivery and quality standards.
Gather system feature requirements, define detailed test plans, and execute hardware validation plans.
Requirements
Bachelor’s or master’s degree in electrical engineering
Computer Engineering, or related field
Nice to have: Cadence schematic and board layout tools
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